An Adaptive Model- A2Pattern for Load Balancing to Ensure Disaster Data in Cloud Infrastructure

International Journal of Communication and Media Science

© 2014 by SSRG - IJCMS Journal

Volume 1 Issue 1

Year of Publication : 2014

Authors : M.Arulkumar

10.14445/2349641X/IJCMS-V1I1P103

How to Cite?

M.Arulkumar, "An Adaptive Model- A2Pattern for Load Balancing to Ensure Disaster Data in Cloud Infrastructure," SSRG International Journal of Communication and Media Science, vol. 1,  no. 1, pp. 12-17, 2014. Crossref, https://doi.org/10.14445/2349641X/IJCMS-V1I1P103

Abstract:

The cloud” is inherently a shared infrastructure. This shared nature makes cloud an ideal model for disaster recovery. Due to global warming our earth may face many types of disasters like earthquake, tsunami, storm, flood and etc., The sensing of an environment conditions and disaster is the preventive methods to make an alert to protect data, it can lead us to a business recovery. To find the disaster and to monitor more number of objects placed in the remote areas, the function is not processed properly in the Remote Monitoring Systems. The proposed method is cloud computing infrastructure to monitor all the remote objects in the world wide and to make the fast identification of a disaster, and it also guarantees the response time by using FTR-HTTPs method. For better management of resource availability good load balancing techniques is needed. So, load balancing in cloud becoming more interested area of research. In existing load balancing technique allocation of resources is based on the demand or the request of the client. But here the appropriate resource allocation is not properly done. In this paper Activity based access pattern for load balancing in cloud based systems is proposed. In the proposed system the Virtual Machines with resources can be allocated based on its activity with the help of the BPN classifier technique. Earthquake magnitude is high then it make an alert mail to admin.

Keywords:

Load balancing, Remote Monitoring, Virtual Machine, A2pattern technique, Disaster.

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